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The Thinker by Auguste Rodin (1840–1917) in the garden of the Musée Rodin, Paris

In their most common sense, thought and thinking refer to cognitive processes that occur independently of direct sensory stimulation. Core forms include judging, reasoning, concept formation, problem solving, and deliberation. Other processes, such as entertaining an idea, memory, or imagination, are also frequently considered types of thought. Unlike perception, these activities can occur without immediate input from the sensory organs. In a broader sense, any mental event—including perception and unconscious processes—may be described as a form of thought. The term can also denote not the process itself, but the resulting mental states or systems of ideas.

A variety of theories attempt to explain the nature of thinking. Platonism holds that thought involves discerning eternal forms and their interrelations, distinguishing these pure entities from their imperfect sensory imitations. Aristotelianism interprets thinking as instantiating the universal essence of an object within the mind, derived from sense experience rather than a changeless realm. Conceptualism, closely related to Aristotelianism, identifies thinking with the mental evocation of concepts. Inner speech theories suggest that thought takes the form of silent verbal expression, sometimes in a natural language and sometimes in a specialized "mental language," or Mentalese, as proposed by the language of thought hypothesis. Associationism views thought as the succession of ideas governed by laws of association, while behaviorism reduces thinking to behavioral dispositions that generate intelligent actions in response to stimuli. More recently, computationalism compares thought to information processing, storage, and transmission in computers.

Different types of thinking are recognized in philosophy and psychology. Judgement involves affirming or denying a proposition; reasoning draws conclusions from premises or evidence. Both depend on concepts acquired through concept formation. Problem solving aims at achieving specific goals by overcoming obstacles, while deliberation evaluates possible courses of action before selecting one. Episodic memory and imagination internally represent objects or events, either as faithful reproductions or novel rearrangements. Unconscious thought refers to mental activity that occurs without conscious awareness and is sometimes invoked to explain solutions reached without deliberate effort.

The study of thought spans many disciplines. Phenomenology examines the subjective experience of thinking, while metaphysics addresses how mental processes relate to matter in a naturalistic framework. Cognitive psychology treats thought as information processing, whereas developmental psychology explores its growth from infancy to adulthood. Psychoanalysis emphasizes unconscious processes, and fields such as linguistics, neuroscience, artificial intelligence, biology, and sociology also investigate different aspects of thought. Related concepts include the classical laws of thought (identity, non-contradiction, excluded middle), counterfactual thinking (imagining alternatives to reality), thought experiments (testing theories through hypothetical scenarios), critical thinking (reflective evaluation of beliefs and actions), and positive thinking (focusing on beneficial aspects of situations, often linked to optimism).

Definition

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The terms "thought" and "thinking" are used in different ways in psychology and philosophy.[1][2][3] In their most common sense, they refer to conscious processes that occur independently of direct sensory input.[4][5] This includes activities such as considering an idea, evaluating a preposition, or making a judgement. In this sense, memory and imagination count as forms of thought, while perception does not.[6] In a narrower sense, only the most typical cases are called thought-specifically conscious, conceptual or linguistic processes such as judging, inferring, problem-solving, and deliberating.[1][7][8] Sometimes, however, the terms are understood in a much broader sense to include all mental processes, conscious or unconscious.[9][10] In this wide usage, they can be treated as synonymous with mind, as in the Cartesian tradition (where the mind is described as a "thinking thing") and in the cognitive sciences.[6][11][12][13] Some accounts further add that only processes leading to intelligent behavior should count as thought.[14] A common contrast in the literature is drawn between thinking and feeling. In this distinction, thinking is seen as a rational, dispassionate activity, while feeling involves direct emotional engagement.[15][16][17]

The words thought and thinking can also refer to the results of these processes, such as beliefs, mental states, or systems of ideas held by an individual or shared within a group.[18][19][20] Academic discussions often leave implicit which of these senses is intended.

The word thought derives from Old English þoht or geþoht, from the stem of þencan ("to conceive in the mind, consider").[21]

Theories of thinking

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Many different theories of thinking have been developed.[22] They attempt to describe the main features and processes involved in thinking. These theories are not necessarily mutually exclusive, meaning that some of them can be combined without contradiction.

Platonism

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According to Platonism, thinking is a spiritual activity in which the mind perceives and examines Platonic forms and their relationships.[22][23] This process is described as a kind of silent inner dialogue, where the soul "talks to itself."[24] Platonic forms are understood as universals that exist in a changeless, non-physical realm, distinct from the sensory world. Examples include the forms of goodness, beauty, unity, and sameness.[25][26][27] The challenge of thinking, in this view, lies in recognizing and distinguishing these true forms from the imperfect copies and imitations found in the physical world. For instance, one must separate the idea of beauty itself from mere beautiful objects.[23] A central difficulty for this theory is explaining how humans can think about or learn these transcendent forms if they exist in a different realm.[22] Plato addresses this issue with his theory of recollection, which claims that the soul was once in direct contact with the forms before birth and can therefore "remember" them.[23] However, this solution relies on metaphysical assumptions that are not widely accepted in modern philosophy.[23]

Aristotelianism and conceptualism

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According to Aristotelianism, the mind thinks about an object by instantiating its essence.[22] For example, when thinking about trees, the mind instantiates "tree-ness." Unlike actual trees, this instantiation does not occur in matter but in the mind, though the universal essence is the same in both cases.[22] In contrast with Platonism, universals are not seen as timeless forms existing in a separate intelligible realm.[28] Instead, they exist only insofar as they are instantiated. The mind comes to recognize universals through abstraction from experience, a view that avoids some objections directed against Platonism.[29][28]

Conceptualism is closely related. It holds that thinking consists in mentally evoking concepts. While some concepts may be innate, most are acquired through abstraction from sensory experience before they can be used in thought.[22]

Critics argue that both theories face difficulties. One problem is explaining the logical structure of thought. For instance, to think that it will either rain or snow, it is not enough to instantiate the essences of rain and snow or to evoke the relevant concepts. The disjunctive relation between them is not captured in this way.[22] Another challenge lies in providing a clear account of how the mind acquires essences or concepts through abstraction.[22]

Inner speech theory

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Inner speech theories hold that thinking is a form of inner speech.[6][30][24][1] This position, sometimes called psychological nominalism,[22] maintains that thinking consists of silently evoking words and connecting them to form mental sentences. A person's awareness of their own thoughts is explained as a kind of overhearing of one's silent monologue.[31] Three central features are often associated with inner speech: it is in some sense similar to hearing sounds, it involves the use of language, and it constitutes a motor plan that could be used for actual speech.[24] The link between thinking and language is supported by evidence that thinking is often accompanied by muscle activity in the speech organs. Such activity may facilitate thought in certain cases but is not required for thinking in general.[1] Some versions of the theory propose that thinking does not occur in ordinary languages like English or French but in a specialized symbolic system with its own syntax. This is known as the language of thought hypothesis.[30][32]

Inner speech theory has strong intuitive appeal since introspection suggests that many thoughts are accompanied by inner speech. Critics argue, however, that not all forms of thinking are linguistic.[22][5][33] Daydreaming, for example, has been cited as a case of non-linguistic thought.[34] This debate is significant for the question of whether animals can think. If thinking necessarily depends on language, then there is a sharp divide between humans and other animals, since only humans possess sufficiently complex languages. But if non-linguistic thought exists, then this gap may be smaller, suggesting that some animals are capable of thought as well.[33][35][36]

Language of thought hypothesis

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There are various theories about the relation between language and thought. One prominent version in contemporary philosophy is called the language of thought hypothesis.[30][32][37][38][39] It states that thinking happens in the medium of a mental language. This language, often referred to as Mentalese, is similar to regular languages in various respects: it is composed of words that are connected to each other in syntactic ways to form sentences.[30][32][37][38] This claim does not merely rest on an intuitive analogy between language and thought. Instead, it provides a clear definition of the features a representational system has to embody in order to have a linguistic structure.[37][32][38] On the level of syntax, the representational system has to possess two types of representations: atomic and compound representations. Atomic representations are basic whereas compound representations are constituted either by other compound representations or by atomic representations.[37][32][38] On the level of semantics, the semantic content or the meaning of the compound representations should depend on the semantic contents of its constituents. A representational system is linguistically structured if it fulfills these two requirements.[37][32][38]

The language of thought hypothesis states that the same is true for thinking in general. This would mean that thought is composed of certain atomic representational constituents that can be combined as described above.[37][32][40] Apart from this abstract characterization, no further concrete claims are made about how human thought is implemented by the brain or which other similarities to natural language it has.[37] The language of thought hypothesis was first introduced by Jerry Fodor.[32][37] He argues in favor of this claim by holding that it constitutes the best explanation of the characteristic features of thinking. One of these features is productivity: a system of representations is productive if it can generate an infinite number of unique representations based on a low number of atomic representations.[37][32][40] This applies to thought since human beings are capable of entertaining an infinite number of distinct thoughts even though their mental capacities are quite limited. Other characteristic features of thinking include systematicity and inferential coherence.[32][37][40] Fodor argues that the language of thought hypothesis is true as it explains how thought can have these features and because there is no good alternative explanation.[37] Some arguments against the language of thought hypothesis are based on neural networks, which are able to produce intelligent behavior without depending on representational systems. Other objections focus on the idea that some mental representations happen non-linguistically, for example, in the form of maps or images.[37][32]

Computationalists have been especially interested in the language of thought hypothesis since it provides ways to close the gap between thought in the human brain and computational processes implemented by computers.[37][32][41] The reason for this is that processes over representations that respect syntax and semantics, like inferences according to the modus ponens, can be implemented by physical systems using causal relations. The same linguistic systems may be implemented through different material systems, like brains or computers. In this way, computers can think.[37][32]

Associationism

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An important view in the empiricist tradition has been associationism, the view that thinking consists in the succession of ideas or images.[1][42][43] This succession is seen as being governed by laws of association, which determine how the train of thought unfolds.[1][44] These laws are different from logical relations between the contents of thoughts, which are found in the case of drawing inferences by moving from the thought of the premises to the thought of the conclusion.[44] Various laws of association have been suggested. According to the laws of similarity and contrast, ideas tend to evoke other ideas that are either very similar to them or their opposite. The law of contiguity, on the other hand, states that if two ideas were frequently experienced together, then the experience of one tends to cause the experience of the other.[1][42] In this sense, the history of an organism's experience determines which thoughts the organism has and how these thoughts unfold.[44] But such an association does not guarantee that the connection is meaningful or rational. For example, because of the association between the terms "cold" and "Idaho", the thought "this coffee shop is cold" might lead to the thought "Russia should annex Idaho".[44]

One form of associationism is imagism. It states that thinking involves entertaining a sequence of images where earlier images conjure up later images based on the laws of association.[22] One problem with this view is that we can think about things that we cannot imagine. This is especially relevant when the thought involves very complex objects or infinities, which is common, for example, in mathematical thought.[22] One criticism directed at associationism in general is that its claim is too far-reaching. There is wide agreement that associative processes as studied by associationists play some role in how thought unfolds. But the claim that this mechanism is sufficient to understand all thought or all mental processes is usually not accepted.[43][44]

Behaviorism

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According to behaviorism, thinking consists in behavioral dispositions to engage in certain publicly observable behavior as a reaction to particular external stimuli.[45][46][47] On this view, having a particular thought is the same as having a disposition to behave in a certain way. This view is often motivated by empirical considerations: it is very difficult to study thinking as a private mental process but it is much easier to study how organisms react to a certain situation with a given behavior.[47] In this sense, the capacity to solve problems not through existing habits but through creative new approaches is particularly relevant.[48] The term "behaviorism" is also sometimes used in a slightly different sense when applied to thinking to refer to a specific form of inner speech theory.[49] This view focuses on the idea that the relevant inner speech is a derivative form of regular outward speech.[1] This sense overlaps with how behaviorism is understood more commonly in philosophy of mind since these inner speech acts are not observed by the researcher but merely inferred from the subject's intelligent behavior.[49] This remains true to the general behaviorist principle that behavioral evidence is required for any psychological hypothesis.[47]

One problem for behaviorism is that the same entity often behaves differently despite being in the same situation as before.[50][51] This problem consists in the fact that individual thoughts or mental states usually do not correspond to one particular behavior. So thinking that the pie is tasty does not automatically lead to eating the pie, since various other mental states may still inhibit this behavior, for example, the belief that it would be impolite to do so or that the pie is poisoned.[52][53]

Computationalism

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Computationalist theories of thinking, often found in the cognitive sciences, understand thinking as a form of information processing.[41][54][45] These views developed with the rise of computers in the second part of the 20th century, when various theorists saw thinking in analogy to computer operations.[54] On such views, the information may be encoded differently in the brain, but in principle, the same operations take place there as well, corresponding to the storage, transmission, and processing of information.[1][13] But while this analogy has some intuitive attraction, theorists have struggled to give a more explicit explanation of what computation is. A further problem consists in explaining the sense in which thinking is a form of computing.[45] The traditionally dominant view defines computation in terms of Turing machines, though contemporary accounts often focus on neural networks for their analogies.[41] A Turing machine is capable of executing any algorithm based on a few very basic principles, such as reading a symbol from a cell, writing a symbol to a cell, and executing instructions based on the symbols read.[41] This way it is possible to perform deductive reasoning following the inference rules of formal logic as well as simulating many other functions of the mind, such as language processing, decision making, and motor control.[54][45] But computationalism does not only claim that thinking is in some sense similar to computation. Instead, it is claimed that thinking just is a form of computation or that the mind is a Turing machine.[45]

Computationalist theories of thought are sometimes divided into functionalist and representationalist approaches.[45] Functionalist approaches define mental states through their causal roles but allow both external and internal events in their causal network.[55][56][57] Thought may be seen as a form of program that can be executed in the same way by many different systems, including humans, animals, and even robots. According to one such view, whether something is a thought only depends on its role "in producing further internal states and verbal outputs".[58][55] Representationalism, on the other hand, focuses on the representational features of mental states and defines thoughts as sequences of intentional mental states.[59][45] In this sense, computationalism is often combined with the language of thought hypothesis by interpreting these sequences as symbols whose order is governed by syntactic rules.[45][32]

Various arguments have been raised against computationalism. In one sense, it seems trivial since almost any physical system can be described as executing computations and therefore as thinking. For example, it has been argued that the molecular movements in a regular wall can be understood as computing an algorithm since they are "isomorphic to the formal structure of the program" in question under the right interpretation.[45] This would lead to the implausible conclusion that the wall is thinking. Another objection focuses on the idea that computationalism captures only some aspects of thought but is unable to account for other crucial aspects of human cognition.[45][54]

Types of thinking

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A great variety of types of thinking are discussed in the academic literature. A common approach divides them into those forms that aim at the creation of theoretical knowledge and those that aim at producing actions or correct decisions,[22] but there is no universally accepted taxonomy summarizing all these types.

Entertaining, judging, and reasoning

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Thinking is often identified with the act of judging. A judgment is a mental operation in which a proposition is evoked and then either affirmed or denied.[6][60] It involves deciding what to believe and aims at determining whether the judged proposition is true or false.[61][62] Various theories of judgment have been proposed. The traditionally dominant approach is the combination theory. It states that judgments consist in the combination of concepts.[63] On this view, to judge that "all men are mortal" is to combine the concepts "man" and "mortal". The same concepts can be combined in different ways, corresponding to different forms of judgment, for example, as "some men are mortal" or "no man is mortal".[64]

Other theories of judgment focus more on the relation between the judged proposition and reality. According to Franz Brentano, a judgment is either a belief or a disbelief in the existence of some entity.[63][65] In this sense, there are only two fundamental forms of judgment: "A exists" and "A does not exist". When applied to the sentence "all men are mortal", the entity in question is "immortal men", of whom it is said that they do not exist.[63][65] Important for Brentano is the distinction between the mere representation of the content of the judgment and the affirmation or the denial of the content.[63][65] The mere representation of a proposition is often referred to as "entertaining a proposition". This is the case, for example, when one considers a proposition but has not yet made up one's mind about whether it is true or false.[63][65] The term "thinking" can refer both to judging and to mere entertaining. This difference is often explicit in the way the thought is expressed: "thinking that" usually involves a judgment whereas "thinking about" refers to the neutral representation of a proposition without an accompanying belief. In this case, the proposition is merely entertained but not yet judged.[19] Some forms of thinking may involve the representation of objects without any propositions, as when someone is thinking about their grandmother.[6]

Reasoning is one of the most paradigmatic forms of thinking. It is the process of drawing conclusions from premises or evidence. Types of reasoning can be divided into deductive and non-deductive reasoning. Deductive reasoning is governed by certain rules of inference, which guarantee the truth of the conclusion if the premises are true.[1][66] For example, given the premises "all men are mortal" and "Socrates is a man", it follows deductively that "Socrates is mortal". Non-deductive reasoning, also referred to as defeasible reasoning or non-monotonic reasoning, is still rationally compelling but the truth of the conclusion is not ensured by the truth of the premises.[67] Induction is one form of non-deductive reasoning, for example, when one concludes that "the sun will rise tomorrow" based on one's experiences of all the previous days. Other forms of non-deductive reasoning include the inference to the best explanation and analogical reasoning.[68]

Fallacies are faulty forms of thinking that go against the norms of correct reasoning. Formal fallacies concern faulty inferences found in deductive reasoning.[69][70] Denying the antecedent is one type of formal fallacy, for example, "If Othello is a bachelor, then he is male. Othello is not a bachelor. Therefore, Othello is not male".[1][71] Informal fallacies, on the other hand, apply to all types of reasoning. The source of their flaw is to be found in the content or the context of the argument.[72][69][73] This is often caused by ambiguous or vague expressions in natural language, as in "Feathers are light. What is light cannot be dark. Therefore, feathers cannot be dark".[74] An important aspect of fallacies is that they seem to be rationally compelling on the first look and thereby seduce people into accepting and committing them.[69] Whether an act of reasoning constitutes a fallacy does not depend on whether the premises are true or false but on their relation to the conclusion and, in some cases, on the context.[1]

Concept formation

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Concepts are general notions that constitute the fundamental building blocks of thought.[75][76] They are rules that govern how objects are sorted into different classes.[77][78] A person can only think about a proposition if they possess the concepts involved in this proposition.[79] For example, the proposition "wombats are animals" involves the concepts "wombat" and "animal". Someone who does not possess the concept "wombat" may still be able to read the sentence but cannot entertain the corresponding proposition. Concept formation is a form of thinking in which new concepts are acquired.[78] It involves becoming familiar with the characteristic features shared by all instances of the corresponding type of entity and developing the ability to identify positive and negative cases. This process usually corresponds to learning the meaning of the word associated with the type in question.[77][78] There are various theories concerning how concepts and concept possession are to be understood.[75] The use of metaphor may aid in the processes of concept formation.[80]

According to one popular view, concepts are to be understood in terms of abilities. On this view, two central aspects characterize concept possession: the ability to discriminate between positive and negative cases and the ability to draw inferences from this concept to related concepts. Concept formation corresponds to acquiring these abilities.[79][81][75] It has been suggested that animals are also able to learn concepts to some extent, due to their ability to discriminate between different types of situations and to adjust their behavior accordingly.[77][82]

Problem solving

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In the case of problem solving, thinking aims at reaching a predefined goal by overcoming certain obstacles.[7][1][78] This process often involves two different forms of thinking. On the one hand, divergent thinking aims at coming up with as many alternative solutions as possible. On the other hand, convergent thinking tries to narrow down the range of alternatives to the most promising candidates.[1][83][84] Some researchers identify various steps in the process of problem solving. These steps include recognizing the problem, trying to understand its nature, identifying general criteria the solution should meet, deciding how these criteria should be prioritized, monitoring the progress, and evaluating the results.[1]

An important distinction concerns the type of problem that is faced. For well-structured problems, it is easy to determine which steps need to be taken to solve them, but executing these steps may still be difficult.[1][85] For ill-structured problems, on the other hand, it is not clear what steps need to be taken, i.e. there is no clear formula that would lead to success if followed correctly. In this case, the solution may sometimes come in a flash of insight in which the problem is suddenly seen in a new light.[1][85] Another way to categorize different forms of problem solving is by distinguishing between algorithms and heuristics.[78] An algorithm is a formal procedure in which each step is clearly defined. It guarantees success if applied correctly.[1][78] The long multiplication usually taught in school is an example of an algorithm for solving the problem of multiplying big numbers. Heuristics, on the other hand, are informal procedures. They are rough rules-of-thumb that tend to bring the thinker closer to the solution but success is not guaranteed in every case even if followed correctly.[1][78] Examples of heuristics are working forward and working backward. These approaches involve planning one step at a time, either starting at the beginning and moving forward or starting at the end and moving backward. So when planning a trip, one could plan the different stages of the trip from origin to destiny in the chronological order of how the trip will be realized, or in the reverse order.[1]

Obstacles to problem solving can arise from the thinker's failure to take certain possibilities into account by fixating on one specific course of action.[1] There are important differences between how novices and experts solve problems. For example, experts tend to allocate more time for conceptualizing the problem and work with more complex representations whereas novices tend to devote more time to executing putative solutions.[1]

Deliberation and decision

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Deliberation is an important form of practical thinking. It aims at formulating possible courses of action and assessing their value by considering the reasons for and against them.[86] This involves foresight to anticipate what might happen. Based on this foresight, different courses of action can be formulated in order to influence what will happen. Decisions are an important part of deliberation. They are about comparing alternative courses of action and choosing the most favorable one.[66][22] Decision theory is a formal model of how ideal rational agents would make decisions.[78][87][88] It is based on the idea that they should always choose the alternative with the highest expected value. Each alternative can lead to various possible outcomes, each of which has a different value. The expected value of an alternative consists in the sum of the values of each outcome associated with it multiplied by the probability that this outcome occurs.[87][88] According to decision theory, a decision is rational if the agent chooses the alternative associated with the highest expected value, as assessed from the agent's own perspective.[87][88]

Various theorists emphasize the practical nature of thought, i.e. that thinking is usually guided by some kind of task it aims to solve. In this sense, thinking has been compared to trial-and-error seen in animal behavior when faced with a new problem. On this view, the important difference is that this process happens inwardly as a form of simulation.[1] This process is often much more efficient since once the solution is found in thought, only the behavior corresponding to the found solution has to be outwardly carried out and not all the others.[1]

Episodic memory and imagination

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When thinking is understood in a wide sense, it includes both episodic memory and imagination.[20] In episodic memory, events one experienced in the past are relived.[89][90][91] It is a form of mental time travel in which the past experience is re-experienced.[91][92] But this does not constitute an exact copy of the original experience since the episodic memory involves additional aspects and information not present in the original experience. This includes both a feeling of familiarity and chronological information about the past event in relation to the present.[89][91] Memory aims at representing how things actually were in the past, in contrast to imagination, which presents objects without aiming to show how things actually are or were.[93] Because of this missing link to actuality, more freedom is involved in most forms of imagination: its contents can be freely varied, changed, and recombined to create new arrangements never experienced before.[94] Episodic memory and imagination have in common with other forms of thought that they can arise internally without any stimulation of the sensory organs.[95][94] But they are still closer to sensation than more abstract forms of thought since they present sensory contents that could, at least in principle, also be perceived.

Unconscious thought

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Conscious thought is the paradigmatic form of thinking and is often the focus of the corresponding research. But it has been argued that some forms of thought also happen on the unconscious level.[9][10][4][5] Unconscious thought is thought that happens in the background without being experienced. It is therefore not observed directly. Instead, its existence is usually inferred by other means.[10] For example, when someone is faced with an important decision or a difficult problem, they may not be able to solve it straight away. But then, at a later time, the solution may suddenly flash before them even though no conscious steps of thinking were taken towards this solution in the meantime.[10][9] In such cases, the cognitive labor needed to arrive at a solution is often explained in terms of unconscious thoughts. The central idea is that a cognitive transition happened and we need to posit unconscious thoughts to be able to explain how it happened.[10][9]

It has been argued that conscious and unconscious thoughts differ not just concerning their relation to experience but also concerning their capacities. According to unconscious thought theorists, for example, conscious thought excels at simple problems with few variables but is outperformed by unconscious thought when complex problems with many variables are involved.[10][9] This is sometimes explained through the claim that the number of items one can consciously think about at the same time is rather limited whereas unconscious thought lacks such limitations.[10] But other researchers have rejected the claim that unconscious thought is often superior to conscious thought.[96][97] Other suggestions for the difference between the two forms of thinking include that conscious thought tends to follow formal logical laws while unconscious thought relies more on associative processing and that only conscious thinking is conceptually articulated and happens through the medium of language.[10][98]

In various disciplines

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Phenomenology

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Phenomenology is the science of the structure and contents of experience.[99][100] The term "cognitive phenomenology" refers to the experiential character of thinking or what it feels like to think.[4][101][102][6][103] Some theorists claim that there is no distinctive cognitive phenomenology. On such a view, the experience of thinking is just one form of sensory experience.[103][104][105] According to one version, thinking just involves hearing a voice internally.[104] According to another, there is no experience of thinking apart from the indirect effects thinking has on sensory experience.[4][101] A weaker version of such an approach allows that thinking may have a distinct phenomenology but contends that thinking still depends on sensory experience because it cannot occur on its own. On this view, sensory contents constitute the foundation from which thinking may arise.[4][104][105]

An often-cited thought experiment in favor of the existence of a distinctive cognitive phenomenology involves two persons listening to a radio broadcast in French, one who understands French and the other who does not.[4][101][102][106] The idea behind this example is that both listeners hear the same sounds and therefore have the same non-cognitive experience. In order to explain the difference, a distinctive cognitive phenomenology has to be posited: only the experience of the first person has this additional cognitive character since it is accompanied by a thought that corresponds to the meaning of what is said.[4][101][102][107] Other arguments for the experience of thinking focus on the direct introspective access to thinking or on the thinker's knowledge of their own thoughts.[4][101][102]

Phenomenologists are also concerned with the characteristic features of the experience of thinking. Making a judgment is one of the prototypical forms of cognitive phenomenology.[102][108] It involves epistemic agency, in which a proposition is entertained, evidence for and against it is considered, and, based on this reasoning, the proposition is either affirmed or rejected.[102] It is sometimes argued that the experience of truth is central to thinking, i.e. that thinking aims at representing how the world is.[6][101] It shares this feature with perception but differs from it in the way how it represents the world: without the use of sensory contents.[6]

One of the characteristic features often ascribed to thinking and judging is that they are predicative experiences, in contrast to the pre-predicative experience found in immediate perception.[109][110] On such a view, various aspects of perceptual experience resemble judgments without being judgments in the strict sense.[4][111][112] For example, the perceptual experience of the front of a house brings with it various expectations about aspects of the house not directly seen, like the size and shape of its other sides. This process is sometimes referred to as apperception.[4][111] These expectations resemble judgments and can be wrong. This would be the case when it turns out upon walking around the "house" that it is no house at all but only a front facade of a house with nothing behind it. In this case, the perceptual expectations are frustrated and the perceiver is surprised.[4] There is disagreement as to whether these pre-predicative aspects of regular perception should be understood as a form of cognitive phenomenology involving thinking.[4] This issue is also important for understanding the relation between thought and language. The reason for this is that the pre-predicative expectations do not depend on language, which is sometimes taken as an example for non-linguistic thought.[4] Various theorists have argued that pre-predicative experience is more basic or fundamental since predicative experience is in some sense built on top of it and therefore depends on it.[112][109][110]

Another way how phenomenologists have tried to distinguish the experience of thinking from other types of experiences is in relation to empty intentions in contrast to intuitive intentions.[113][114] In this context, "intention" means that some kind of object is experienced. In intuitive intentions, the object is presented through sensory contents. Empty intentions, on the other hand, present their object in a more abstract manner without the help of sensory contents.[113][4][114] So when perceiving a sunset, it is presented through sensory contents. The same sunset can also be presented non-intuitively when merely thinking about it without the help of sensory contents.[114] In these cases, the same properties are ascribed to objects. The difference between these modes of presentation concerns not what properties are ascribed to the presented object but how the object is presented.[113] Because of this commonality, it is possible for representations belonging to different modes to overlap or to diverge.[6] For example, when searching one's glasses one may think to oneself that one left them on the kitchen table. This empty intention of the glasses lying on the kitchen table are then intuitively fulfilled when one sees them lying there upon arriving in the kitchen. This way, a perception can confirm or refute a thought depending on whether the empty intuitions are later fulfilled or not.[6][114]

Metaphysics

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The mind–body problem concerns the explanation of the relationship that exists between minds, or mental processes, and bodily states or processes.[115] The main aim of philosophers working in this area is to determine the nature of the mind and mental states/processes, and how—or even if—minds are affected by and can affect the body.

Human perceptual experiences depend on stimuli which arrive at one's various sensory organs from the external world and these stimuli cause changes in one's mental state, ultimately causing one to feel a sensation, which may be pleasant or unpleasant. Someone's desire for a slice of pizza, for example, will tend to cause that person to move his or her body in a specific manner and in a specific direction to obtain what he or she wants. The question, then, is how it can be possible for conscious experiences to arise out of a lump of gray matter endowed with nothing but electrochemical properties. A related problem is to explain how someone's propositional attitudes (e.g. beliefs and desires) can cause that individual's neurons to fire and his muscles to contract in exactly the correct manner. These comprise some of the puzzles that have confronted epistemologists and philosophers of mind from at least the time of René Descartes.[116]

The above reflects a classical, functional description of how we work as cognitive, thinking systems. However the apparently irresolvable mind–body problem is said to be overcome, and bypassed, by the embodied cognition approach, with its roots in the work of Heidegger, Piaget, Vygotsky, Merleau-Ponty and the pragmatist John Dewey.[117][118]

This approach states that the classical approach of separating the mind and analysing its processes is misguided: instead, we should see that the mind, actions of an embodied agent, and the environment it perceives and envisions, are all parts of a whole which determine each other. Therefore, functional analysis of the mind alone will always leave us with the mind–body problem which cannot be solved.[119]

Psychology

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Man thinking on a train journey

Psychologists have concentrated on thinking as an intellectual exertion aimed at finding an answer to a question or the solution of a practical problem. Cognitive psychology is a branch of psychology that investigates internal mental processes such as problem solving, memory, and language; all of which are used in thinking. The school of thought arising from this approach is known as cognitivism, which is interested in how people mentally represent information processing. It had its foundations in the Gestalt psychology of Max Wertheimer, Wolfgang Köhler, and Kurt Koffka,[120] and in the work of Jean Piaget, who provided a theory of stages/phases that describes children's cognitive development.

Cognitive psychologists use psychophysical and experimental approaches to understand, diagnose, and solve problems, concerning themselves with the mental processes which mediate between stimulus and response. They study various aspects of thinking, including the psychology of reasoning, and how people make decisions and choices, solve problems, as well as engage in creative discovery and imaginative thought. Cognitive theory contends that solutions to problems either take the form of algorithms: rules that are not necessarily understood but promise a solution, or of heuristics: rules that are understood but that do not always guarantee solutions. Cognitive science differs from cognitive psychology in that algorithms that are intended to simulate human behavior are implemented or implementable on a computer. In other instances, solutions may be found through insight, a sudden awareness of relationships.

In developmental psychology, Jean Piaget was a pioneer in the study of the development of thought from birth to maturity. In his theory of cognitive development, thought is based on actions on the environment. That is, Piaget suggests that the environment is understood through assimilations of objects in the available schemes of action and these accommodate to the objects to the extent that the available schemes fall short of the demands. As a result of this interplay between assimilation and accommodation, thought develops through a sequence of stages that differ qualitatively from each other in mode of representation and complexity of inference and understanding. That is, thought evolves from being based on perceptions and actions at the sensorimotor stage in the first two years of life to internal representations in early childhood. Subsequently, representations are gradually organized into logical structures which first operate on the concrete properties of the reality, in the stage of concrete operations, and then operate on abstract principles that organize concrete properties, in the stage of formal operations.[121] In recent years, the Piagetian conception of thought was integrated with information processing conceptions. Thus, thought is considered as the result of mechanisms that are responsible for the representation and processing of information. In this conception, speed of processing, cognitive control, and working memory are the main functions underlying thought. In the neo-Piagetian theories of cognitive development, the development of thought is considered to come from increasing speed of processing, enhanced cognitive control, and increasing working memory.[122]

Positive psychology emphasizes the positive aspects of human psychology as equally important as the focus on mood disorders and other negative symptoms. In Character Strengths and Virtues, Peterson and Seligman list a series of positive characteristics. One person is not expected to have every strength, nor are they meant to fully capsulate that characteristic entirely. The list encourages positive thought that builds on a person's strengths, rather than how to "fix" their "symptoms".[123]

Psychoanalysis

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The "id", "ego" and "super-ego" are the three parts of the "psychic apparatus" defined in Sigmund Freud's structural model of the psyche; they are the three theoretical constructs in terms of whose activity and interaction mental life is described. According to this model, the uncoordinated instinctual trends are encompassed by the "id", the organized realistic part of the psyche is the "ego", and the critical, moralizing function is the "super-ego".[124]

For psychoanalysis, the unconscious does not include all that is not conscious, rather only what is actively repressed from conscious thought or what the person is averse to knowing consciously. In a sense this view places the self in relationship to their unconscious as an adversary, warring with itself to keep what is unconscious hidden. If a person feels pain, all he can think of is alleviating the pain. Any of his desires, to get rid of pain or enjoy something, command the mind what to do. For Freud, the unconscious was a repository for socially unacceptable ideas, wishes or desires, traumatic memories, and painful emotions put out of mind by the mechanism of psychological repression. However, the contents did not necessarily have to be solely negative. In the psychoanalytic view, the unconscious is a force that can only be recognized by its effects—it expresses itself in the symptom.[125]

The collective unconscious, sometimes known as collective subconscious, is a term of analytical psychology, coined by Carl Jung. It is a part of the unconscious mind, shared by a society, a people, or all humanity, in an interconnected system that is the product of all common experiences and contains such concepts as science, religion, and morality. While Freud did not distinguish between "individual psychology" and "collective psychology", Jung distinguished the collective unconscious from the personal subconscious particular to each human being. The collective unconscious is also known as "a reservoir of the experiences of our species".[126]

In the "Definitions" chapter of Jung's seminal work Psychological Types, under the definition of "collective" Jung references representations collectives, a term coined by Lucien Lévy-Bruhl in his 1910 book How Natives Think. Jung says this is what he describes as the collective unconscious. Freud, on the other hand, did not accept the idea of a collective unconscious.

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Laws of thought

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Traditionally, the term "laws of thought" refers to three fundamental laws of logic: the law of contradiction, the law of excluded middle, and the principle of identity.[127][128] These laws by themselves are not sufficient as axioms of logic but they can be seen as important precursors to the modern axiomatization of logic. The law of contradiction states that for any proposition, it is impossible that both it and its negation are true: . According to the law of excluded middle, for any proposition, either it or its opposite is true: . The principle of identity asserts that any object is identical to itself: .[127][128] There are different conceptions of how the laws of thought are to be understood. The interpretations most relevant to thinking are to understand them as prescriptive laws of how one should think or as formal laws of propositions that are true only because of their form and independent of their content or context.[128] Metaphysical interpretations, on the other hand, see them as expressing the nature of "being as such".[128]

While there is a very wide acceptance of these three laws among logicians, they are not universally accepted.[127][128] Aristotle, for example, held that there are some cases in which the law of excluded middle is false. This concerns primarily uncertain future events. On his view, it is currently "not ... either true or false that there will be a naval battle tomorrow".[127][128] Modern intuitionist logic also rejects the law of excluded middle. This rejection is based on the idea that mathematical truth depends on verification through a proof. The law fails for cases where no such proof is possible, which exist in every sufficiently strong formal system, according to Gödel's incompleteness theorems.[129][130][127][128] Dialetheists, on the other hand, reject the law of contradiction by holding that some propositions are both true and false. One motivation of this position is to avoid certain paradoxes in classical logic and set theory, like the liar's paradox and Russell's paradox. One of its problems is to find a formulation that circumvents the principle of explosion, i.e. that anything follows from a contradiction.[131][132][133]

Some formulations of the laws of thought include a fourth law: the principle of sufficient reason.[128] It states that everything has a sufficient reason, ground, or cause. It is closely connected to the idea that everything is intelligible or can be explained in reference to its sufficient reason.[134][135] According to this idea, there should always be a full explanation, at least in principle, to questions like why the sky is blue or why World War II happened. One problem for including this principle among the laws of thought is that it is a metaphysical principle, unlike the other three laws, which pertain primarily to logic.[135][128][134]

Counterfactual thinking

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Counterfactual thinking involves mental representations of non-actual situations and events, i.e. of what is "contrary to the facts".[136][137] It is usually conditional: it aims at assessing what would be the case if a certain condition had obtained.[138][139] In this sense, it tries to answer "What if"-questions. For example, thinking after an accident that one would be dead if one had not used the seatbelt is a form of counterfactual thinking: it assumes, contrary to the facts, that one had not used the seatbelt and tries to assess the result of this state of affairs.[137] In this sense, counterfactual thinking is normally counterfactual only to a small degree since just a few facts are changed, like concerning the seatbelt, while most other facts are kept in place, like that one was driving, one's gender, the laws of physics, etc.[136] When understood in the widest sense, there are forms of counterfactual thinking that do not involve anything contrary to the facts at all.[139] This is the case, for example, when one tries to anticipate what might happen in the future if an uncertain event occurs and this event actually occurs later and brings with it the anticipated consequences.[138] In this wider sense, the term "subjunctive conditional" is sometimes used instead of "counterfactual conditional".[139] But the paradigmatic cases of counterfactual thinking involve alternatives to past events.[136]

Counterfactual thinking plays an important role since we evaluate the world around us not only by what actually happened but also by what could have happened.[137] Humans have a greater tendency to engage in counterfactual thinking after something bad happened because of some kind of action the agent performed.[138][136] In this sense, many regrets are associated with counterfactual thinking in which the agent contemplates how a better outcome could have been obtained if only they had acted differently.[137] These cases are known as upward counterfactuals, in contrast to downward counterfactuals, in which the counterfactual scenario is worse than actuality.[138][136] Upward counterfactual thinking is usually experienced as unpleasant, since it presents the actual circumstances in a bad light. This contrasts with the positive emotions associated with downward counterfactual thinking.[137] But both forms are important since it is possible to learn from them and to adjust one's behavior accordingly to get better results in the future.[137][136]

Thought experiments

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Thought experiments involve thinking about imaginary situations, often with the aim of investigating the possible consequences of a change to the actual sequence of events.[140][141][142] It is a controversial issue to what extent thought experiments should be understood as actual experiments.[143][144][145] They are experiments in the sense that a certain situation is set up and one tries to learn from this situation by understanding what follows from it.[146][143] They differ from regular experiments in that imagination is used to set up the situation and counterfactual reasoning is employed to evaluate what follows from it, instead of setting it up physically and observing the consequences through perception.[147][141][143][142] Counterfactual thinking, therefore, plays a central role in thought experiments.[148]

The Chinese room argument is a famous thought experiment proposed by John Searle.[149][150] It involves a person sitting inside a closed-off room, tasked with responding to messages written in Chinese. This person does not know Chinese but has a giant rule book that specifies exactly how to reply to any possible message, similar to how a computer would react to messages. The core idea of this thought experiment is that neither the person nor the computer understands Chinese. This way, Searle aims to show that computers lack a mind capable of deeper forms of understanding despite acting intelligently.[149][150]

Thought experiments are employed for various purposes, for example, for entertainment, education, or as arguments for or against theories. Most discussions focus on their use as arguments. This use is found in fields like philosophy, the natural sciences, and history.[141][145][144][143] It is controversial since there is a lot of disagreement concerning the epistemic status of thought experiments, i.e. how reliable they are as evidence supporting or refuting a theory.[141][145][144][143] Central to the rejection of this usage is the fact that they pretend to be a source of knowledge without the need to leave one's armchair in search of any new empirical data. Defenders of thought experiments usually contend that the intuitions underlying and guiding the thought experiments are, at least in some cases, reliable.[141][143] But thought experiments can also fail if they are not properly supported by intuitions or if they go beyond what the intuitions support.[141][142] In the latter sense, sometimes counter thought experiments are proposed that modify the original scenario in slight ways in order to show that initial intuitions cannot survive this change.[141] Various taxonomies of thought experiments have been suggested. They can be distinguished, for example, by whether they are successful or not, by the discipline that uses them, by their role in a theory, or by whether they accept or modify the actual laws of physics.[142][141]

Critical thinking

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Critical thinking is a form of thinking that is reasonable, reflective, and focused on determining what to believe or how to act.[151][152][153] It holds itself to various standards, like clarity and rationality. In this sense, it involves not just cognitive processes trying to solve the issue at hand but at the same time meta-cognitive processes ensuring that it lives up to its own standards.[152] This includes assessing both that the reasoning itself is sound and that the evidence it rests on is reliable.[152] This means that logic plays an important role in critical thinking. It concerns not just formal logic, but also informal logic, specifically to avoid various informal fallacies due to vague or ambiguous expressions in natural language.[152][74][73] No generally accepted standard definition of "critical thinking" exists but there is significant overlap between the proposed definitions in their characterization of critical thinking as careful and goal-directed.[153] According to some versions, only the thinker's own observations and experiments are accepted as evidence in critical thinking. Some restrict it to the formation of judgments but exclude action as its goal.[153]

A concrete everyday example of critical thinking, due to John Dewey, involves observing foam bubbles moving in a direction that is contrary to one's initial expectations. The critical thinker tries to come up with various possible explanations of this behavior and then slightly modifies the original situation in order to determine which one is the right explanation.[153][154] But not all forms of cognitively valuable processes involve critical thinking. Arriving at the correct solution to a problem by blindly following the steps of an algorithm does not qualify as critical thinking. The same is true if the solution is presented to the thinker in a sudden flash of insight and accepted straight away.[153]

Critical thinking plays an important role in education: fostering the student's ability to think critically is often seen as an important educational goal.[153][152][155] In this sense, it is important to convey not just a set of true beliefs to the student but also the ability to draw one's own conclusions and to question pre-existing beliefs.[155] The abilities and dispositions learned this way may profit not just the individual but also society at large.[152] Critics of the emphasis on critical thinking in education have argued that there is no universal form of correct thinking. Instead, they contend that different subject matters rely on different standards and education should focus on imparting these subject-specific skills instead of trying to teach universal methods of thinking.[153][156] Other objections are based on the idea that critical thinking and the attitude underlying it involve various unjustified biases, like egocentrism, distanced objectivity, indifference, and an overemphasis of the theoretical in contrast to the practical.[153]

Positive thinking

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Positive thinking is an important topic in positive psychology.[157] It involves focusing one's attention on the positive aspects of one's situation and thereby withdrawing one's attention from its negative sides.[157] This is usually seen as a global outlook that applies especially to thinking but includes other mental processes, like feeling, as well.[157] In this sense, it is closely related to optimism. It includes expecting positive things to happen in the future.[158][157] This positive outlook makes it more likely for people to seek to attain new goals.[157] It also increases the probability of continuing to strive towards pre-existing goals that seem difficult to reach instead of just giving up.[158][157]

The effects of positive thinking are not yet thoroughly researched, but some studies suggest that there is a correlation between positive thinking and well-being.[157] For example, students and pregnant women with a positive outlook tend to be better at dealing with stressful situations.[158][157] This is sometimes explained by pointing out that stress is not inherent in stressful situations but depends on the agent's interpretation of the situation. Reduced stress may therefore be found in positive thinkers because they tend to see such situations in a more positive light.[157] But the effects also include the practical domain in that positive thinkers tend to employ healthier coping strategies when faced with difficult situations.[157] This effects, for example, the time needed to fully recover from surgeries and the tendency to resume physical exercise afterward.[158]

But it has been argued that whether positive thinking actually leads to positive outcomes depends on various other factors. Without these factors, it may lead to negative results. For example, the tendency of optimists to keep striving in difficult situations can backfire if the course of events is outside the agent's control.[158] Another danger associated with positive thinking is that it may remain only on the level of unrealistic fantasies and thereby fail to make a positive practical contribution to the agent's life.[159] Pessimism, on the other hand, may have positive effects since it can mitigate disappointments by anticipating failures.[158][160]

Positive thinking is a recurrent topic in the self-help literature.[161] Here, often the claim is made that one can significantly improve one's life by trying to think positively, even if this means fostering beliefs that are contrary to evidence.[162] Such claims and the effectiveness of the suggested methods are controversial and have been criticized due to their lack of scientific evidence.[162][163] In the New Thought movement, positive thinking figures in the law of attraction, the pseudoscientific claim that positive thoughts can directly influence the external world by attracting positive outcomes.[164]

See also

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  • Animal cognition – Intelligence of non-human animals
  • Freethought – Position that beliefs should be formed only on the basis of logic, reason, and empiricism
  • Outline of human intelligence – Topic tree presenting the traits, capacities, models, and research fields of human intelligence, and more
  • Outline of thought – Topic tree that identifies many types of thoughts, types of thinking, aspects of thought, related fields, and more
  • Rethinking – To review a conclusion previously made

References

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Further reading

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Revisions and contributorsEdit on WikipediaRead on Wikipedia
from Grokipedia
Thought is a core element of human , encompassing the mental processes through which individuals perceive, interpret, and respond to internal and external stimuli, forming ideas, beliefs, and intentions. In psychological terms, thought refers to the active process of , including the generation of ideas, images, opinions, or other mental products, as well as the directed or consideration given to objects, events, or concepts. Philosophically, it has been defined broadly as any mental activity or operation of which the thinker is immediately , including doubting, understanding, affirming, denying, willing, and imagining, a view originating with in his foundational work on the mind. From a perspective, thoughts are representational states that enable reasoning, problem-solving, and , often structured like a mental with syntactic properties to facilitate complex inference. The study of thought spans multiple disciplines, each contributing unique insights into its nature and mechanisms. In , thought is examined for its —the capacity to be about or represent something beyond itself—and its role in , where it underpins formation and truth evaluation. Psychology investigates thought through experimental methods, distinguishing types such as (focused on finding a single solution) and (generating multiple ideas), and exploring how thoughts influence behavior via cognitive behavioral models. approaches thought by identifying neural correlates, revealing that it emerges from distributed brain networks involving the for like planning and the for spontaneous rumination. Across these fields, thought is recognized as dynamic and context-dependent, shaped by , , and experience, yet universal in enabling abstract reasoning and .

Definition and Characteristics

Defining Thought

Thought originates etymologically from the noun þōht, denoting the "process of thinking" or "," derived from the Proto-Germanic þanhtaz and ultimately from the verb stem þencan, meaning "to conceive in the mind." In Latin, the related term cogitatio refers to a thinking, considering, or deliberating; it encompasses thought, reflection, and as an abstract mental activity. These roots highlight thought's foundational role as an active cognitive engagement rather than passive occurrence. At its core, thought constitutes a mental process involving , , and reasoning, whereby individuals acquire, process, and manipulate to form ideas or judgments. Unlike mere sensation, which involves immediate sensory input without reflective elaboration, or , which arises as affective responses to stimuli, thought entails deliberate interpretation and synthesis of experiences. This distinction underscores thought's representational quality, enabling beyond raw feelings or perceptions, as articulated in philosophical where ideas (thoughts) derive from but surpass impressions (sensations and emotions). Historically, the concept evolved from Aristotle's noêsis, described as intellectual apprehension or intuitive grasping of universals, distinct from sensory and serving as the highest form of understanding in the soul's cognitive faculties. In contemporary perspectives, thought is often viewed as information processing, akin to computational operations in cognitive models that simulate mental activities through algorithmic manipulation of data. Understanding thought presupposes basic mental states such as (a propositional attitude toward truth), desire (a motivational orientation toward goals), and (the directedness of mental states toward objects or contents), which collectively enable representation and purpose in .

Key Characteristics

One of the defining characteristics of thought is its , the property by which thoughts are inherently directed toward or "about" specific objects, states of affairs, or contents in the world. This feature distinguishes mental phenomena from mere physical events, as articulated by in his seminal work, where he argued that "every mental phenomenon includes something as object within itself," whether in presentation, judgment, or other acts. Intentionality ensures that thoughts possess a directedness that allows them to refer beyond themselves, enabling representation and meaning. Closely related is the representational nature of thought, whereby thoughts function as internal symbols, models, or structures that stand for aspects of reality. In the representational theory of mind, advanced by , cognitive processes involve relations to these mental representations, which often take propositional form—structured as beliefs, desires, or assertions that can be true or false about the world. This representational content allows thoughts to model external or internal scenarios, facilitating and understanding without direct sensory engagement. Thoughts also exhibit significant variability in their forms and expressions, manifesting as verbal inner speech, visual , abstract conceptualizations, or combinations thereof. Cognitive research demonstrates that verbal and visual modes of thought are asymmetrically related, with inner speech more engaged during verbal than visual thinking, while visual remains consistently vivid across both, yet both contribute to problem-solving and comprehension. This variability is further shaped by factors, cultural backgrounds, and individual differences; for instance, East Asian cultures tend toward holistic thinking, attending to relationships and , while Western cultures favor analytic approaches focused on objects and categories. Individual variations in rational-intuitive or analytic-holistic styles also influence how thoughts are processed and applied. Finally, thought is distinguished from related cognitive phenomena by its core attributes. Unlike feelings or , which are primarily affective responses involving valence and , thought is cognitive and representational, focusing on content and rather than subjective . In contrast to , which relies on immediate sensory input to form direct impressions of the environment, thought operates internally through generated representations, allowing for reflection, , and independence from current stimuli.

Philosophical Theories

Ancient Foundations (Platonism and Aristotelianism)

In , thought is fundamentally understood as the recollection (anamnesis) of eternal, immutable Forms that exist independently in a realm of perfect being, beyond the sensory world of becoming. According to this view, the human , having existed prior to embodiment, has direct acquaintance with these Forms and can recover of them through philosophical inquiry and , rather than deriving it solely from empirical observation. This theory posits that true thought involves recognizing universals imprinted on the , enabling the ascent from mere opinion () to genuine (). Plato illustrates this process in the Republic (c. 380 BCE), particularly through the allegory of the cave, where prisoners chained in a subterranean cavern mistake shadows cast on the wall for , representing the illusory nature of sensory perceptions and popular beliefs. The philosopher's journey out of the cave symbolizes the laborious intellectual ascent toward the sunlight of the Forms, where thought achieves clarity by contemplating the Good as the ultimate source of truth and intelligibility. Aristotle, in his De Anima (, c. 350 BCE), reconceptualizes thought as an activity of the (nous), distinguishing between a passive intellect that receives sensory impressions and an (nous poietikos) that actualizes potential knowledge by abstracting universals from particulars. The functions like light illuminating colors, making phantasms ( derived from sense data) intelligible by stripping away individual contingencies to reveal essential forms, thus enabling conceptual understanding. This process underpins Aristotle's , where thoughts emerge as abstracted concepts formed through repeated sensory experiences, organized by the mind's rational capacity rather than innate recollection. The philosophies of and established foundational tensions in Western thought, with Plato's emphasis on innate rational insight inspiring rationalism's prioritization of a priori , while Aristotle's reliance on sensory laid groundwork for empiricism's focus on experience-derived understanding. These ancient frameworks in the and De Anima profoundly shaped subsequent debates on the origins and nature of thought, influencing medieval and modern epistemology.

Conceptualism and Inner Speech Theories

Conceptualism emerged in as a response to realist views of universals, positing that thoughts involve mental representations or concepts that signify particulars rather than abstract entities existing independently in . , in his Summa Logicae (c. 1323), advanced this perspective through , arguing that universals are not real entities but mental signs or concepts formed by the intellect to group similar individuals. For Ockham, thinking occurs via an internal mental language composed of these simple concepts, which naturally signify without conventional agreement, allowing the mind to form judgments about the world through intuitive cognition of particulars and abstractive cognition that generates general concepts. This approach shifted emphasis from direct access to Platonic forms toward a linguistic mediation of thought, where concepts function as terms in a subordinate mental that underpins spoken and written language. In the early , extended the idea of thought as linguistically mediated by proposing inner speech as the primary vehicle for cognitive processes. In Thinking and Speech (1934), Vygotsky described inner speech as an internalized form of social language that develops through children's egocentric speech, a transitional stage where verbalizations aloud serve to regulate behavior and solve problems. Unlike external speech, inner speech is abbreviated, predicative, and highly contextual, enabling abstract thinking by condensing sense into meaning and allowing thought to outpace verbal expression. Vygotsky's sociocultural theory emphasized that this internalization arises from social interactions, transforming external dialogue into private, self-directed verbal thought that structures higher mental functions like planning and self-regulation. Building on these foundations, Jerry Fodor formalized the language of thought hypothesis (LOTH) in The Language of Thought (1975), positing that thoughts are expressed in an innate, domain-general mental language called "mentalese," consisting of sentence-like structures with compositional syntax and semantics independent of natural languages. According to Fodor, mentalese enables productivity and systematicity in cognition—such that understanding novel combinations of ideas follows from grasping their parts—while avoiding paradoxes in learning, as all concepts must be innate to bootstrap concept acquisition without infinite regress. This hypothesis portrays thought as computational manipulation of symbolic representations in mentalese, providing a medium for intentional states that natural language merely translates. Empirical critiques from have challenged the innateness central to LOTH, particularly radical nativism, which claims nearly all lexical concepts are present from birth. Studies on acquisition, such as those demonstrating gradual learning of concepts through perceptual and linguistic exposure in infants, suggest that many concepts emerge via domain-general mechanisms rather than being fully innate, undermining Fodor's bootstrap argument. For instance, research on prototype formation and category learning in young children indicates experiential construction of concepts, contradicting the need for an extensive innate repertoire and highlighting LOTH's limited alignment with developmental evidence. These findings imply that while mentalese may structure thought, its content is more plastic and environmentally shaped than Fodor proposed.

Psychological and Cognitive Theories

Associationism and Behaviorism

Associationism emerged in the 18th century as an empirical approach to understanding thought, positing that mental processes arise from the linking of simple ideas through basic principles of connection. John Locke, in his An Essay Concerning Human Understanding (1689), introduced the concept of the mind as a tabula rasa, or blank slate, at birth, arguing that all knowledge and thoughts develop through sensory experiences that form associations between ideas. David Hume further refined this in A Treatise of Human Nature (1739), identifying three core principles of association—resemblance (similarity between ideas), contiguity (ideas linked by proximity in time or space), and cause and effect (ideas connected through perceived causal relations)—as the mechanisms by which complex thoughts are built from simpler impressions. These principles suggested that thought is not innate but a product of habitual linkages derived from experience, shifting focus from metaphysical speculation to observable patterns in perception. In the early , associationism influenced the rise of , a psychological paradigm that extended associative principles to external s while largely rejecting into internal mental states. , in his seminal 1913 paper "Psychology as the Behaviorist Views It," advocated for psychology as an objective science centered on predicting and controlling through environmental stimuli, dismissing unobservable thoughts as irrelevant and proposing that mental processes, if they exist, manifest as covert muscular or glandular responses. advanced this into with (1957), where he analyzed thought and as forms of operant shaped by contingencies, treating "thinking" as subvocal or covert verbal responses maintained by their functional consequences in the environment rather than private mental entities. Key experimental support came from Ivan Pavlov's studies in the 1900s, which demonstrated how neutral stimuli could elicit responses through repeated associations with unconditioned stimuli, such as dogs salivating to a bell after pairing it with food, providing a model for how mental associations might underpin learned behaviors without invoking inner . Behaviorism's dominance waned during the of the 1950s, as critics argued it inadequately accounted for complex internal processes like problem-solving and , leading to a resurgence of interest in mental representations that contrasted with associationist and behaviorist emphases on external chains of stimuli and responses. This shift highlighted computational models of thought as symbolic manipulations, marking a departure from behaviorism's stimulus-response framework.

Computationalism and Language of Thought

Computationalism posits that mental processes are fundamentally computational, analogous to the operations of a digital computer, where thought involves the manipulation of symbolic representations according to formal rules. This view traces its roots to Alan Turing's 1936 work on computability, which demonstrated that any effectively calculable function can be computed by a theoretical machine, laying the groundwork for understanding thinking as a mechanical process executable by machines. Turing's analysis implied that human cognition could, in principle, be replicated by algorithmic procedures, influencing subsequent theories that model the mind as an information-processing system. A cornerstone of computationalism is the physical symbol system hypothesis, proposed by Allen Newell and in 1976, which asserts that arises from the manipulation of physical symbols within a system capable of storing, retrieving, and transforming them via rule-based processes. According to this hypothesis, the mind functions as a computer that processes discrete symbols—such as words or concepts—through syntactic operations, enabling complex reasoning without requiring an understanding of semantic content. Newell and Simon's early work, including their 1956 development of the program, provided empirical support by demonstrating how symbol manipulation could prove mathematical theorems, mirroring human problem-solving. Closely allied with computationalism is Jerry Fodor's language of thought hypothesis, introduced in 1975, which proposes that thinking occurs in an internal, mental language composed of symbolic representations with a combinatorial syntax and semantics, independent of . Fodor expanded this idea in his 1983 book , arguing for a modular where specialized, innate input-output systems handle perceptual and linguistic processing, while central thought processes operate on a shared language of thought to integrate information. These modules are domain-specific and informationally encapsulated, allowing rapid, automatic computation that underpins intentional mental states, such as beliefs and desires. Fodor's framework suggests that all rational thought involves translating experiences into this mentalese, facilitating productivity and systematicity in . Critics of strong computationalism, which claims that syntactic symbol manipulation alone suffices for genuine understanding, include John Searle's 1980 argument. In this , a person who understands no Chinese follows rules to manipulate Chinese symbols in response to inputs, producing outputs indistinguishable from those of a fluent speaker, yet comprehends nothing—illustrating that formal computation does not entail semantic understanding or . Searle contended that computational systems, even if they simulate thought perfectly, lack the biological causality required for real minds, challenging the sufficiency of the for strong . Applications of these theories appear in cognitive architectures, such as John R. Anderson's (Adaptive Control of Thought-Rational), first outlined in , which models human as a combining (facts) and (production rules) processed in a symbolic manner. simulates tasks like memory retrieval and by predicting response times and error rates based on activation spreading and rule matching, providing a mechanistic for how symbols enable skilled performance. Ongoing developments in , including integrations with perceptual modules, demonstrate its utility in modeling complex thought processes, from arithmetic to comprehension, while remaining grounded in computational principles. This architecture exemplifies how computationalism translates abstract theories into testable models of mental operations.

Types and Processes

Conscious Processes (Entertaining, Judging, Reasoning)

Conscious processes in thought encompass deliberate, awareness-driven mental activities that form the foundation of explicit , including entertaining ideas, judging , and reasoning through logical structures. These processes allow individuals to manipulate concepts intentionally, often serving as building blocks for complex and problem-solving. Unlike or unconscious operations, conscious thought involves metacognitive monitoring, where individuals can reflect on and articulate their mental states. Research in highlights that such processes rely on and attentional resources to maintain and transform information in the mind. Entertaining refers to the conscious holding of ideas or representations in mind without necessarily endorsing or committing to their truth. This mode of thought enables the temporary of hypotheses, scenarios, or possibilities, facilitating and exploration. For example, one might entertain the idea of a fictional or a counterfactual situation, such as imagining the outcomes of a hypothetical change, without believing it to be actual. In philosophical terms, this capacity underscores the distinction between mere and assertion, allowing for open-minded with diverse viewpoints. This process is essential for intellectual flexibility, as it permits the of multiple perspectives prior to judgment. Judging involves the formation of beliefs or opinions by consciously evaluating evidence or concepts against criteria of validity. This process integrates sensory input, prior knowledge, and logical assessment to affirm or deny propositions, resulting in cognitive commitments. , in his (1781), described judging as a function of the understanding that applies categories—such as unity, plurality, , and necessity—to organize experience into coherent beliefs. These twelve categories, derived from forms of logical , enable the synthesis of intuitions into objective ; for instance, judging an event as caused by another relies on the category of . Contemporary views judging as a reflective act that updates states based on evidential weight, often involving probabilistic assessment rather than absolute . Reasoning constitutes the systematic manipulation of propositions to draw inferences, divided into and forms, both requiring conscious oversight. proceeds from general premises to specific conclusions with certainty, exemplified by syllogisms like "All s are mortal; is ; therefore, is mortal." A core valid form is modus ponens: If P then Q; P; therefore Q, which affirms the antecedent to conclude the consequent. This is robust in , with psychological studies showing high endorsement rates in conditional reasoning tasks. , in contrast, generalizes from specific observations to probable conclusions, such as inferring a from repeated examples, though it risks error due to incomplete . Both types demand focused to track premises and avoid fallacies, contributing to adaptive thought. Neural correlates of these conscious processes prominently involve the (PFC), which orchestrates like planning, inhibition, and integration. reveals PFC activation during tasks requiring judgment and reasoning, such as evaluating logical arguments or suppressing irrelevant ideas during entertaining. For instance, the dorsolateral PFC supports the maintenance and manipulation of information in deductive inference, while the ventromedial PFC aids in value-based judgments. Disruptions to PFC connectivity, as seen in lesions or disorders like , impair these abilities, underscoring its role in sustaining deliberate . Unconscious influences may subtly shape conscious outputs, but the PFC ensures their explicit orchestration.

Unconscious and Imaginative Processes (Memory, Imagination, Concept Formation)

Unconscious thought processes operate below the level of explicit , influencing through mechanisms that process without deliberate volition. In Freud's topographical model of the mind, the serves as a repository for mental content that is not currently conscious but can be readily accessed, facilitating indirect influences on thought and behavior via latent associations. This processing underscores how unconscious elements shape ongoing mental activity, as elaborated in Freud's seminal work on the structure of the psyche. Modern research extends this by demonstrating implicit biases—automatic, unintended associations that affect judgments and decisions without conscious intent—measured through tools like the (IAT). The IAT, introduced by Greenwald et al., reveals how such biases emerge from repeated exposure to , impacting formation and interpersonal thought in subtle ways. Episodic memory contributes to unconscious and reconstructive thought by enabling the mental reliving of past personal experiences, often without full conscious control, to inform future-oriented . Tulving's framework distinguishes as a system involving , where individuals subjectively re-experience events in subjective time, contrasting with semantic memory's factual recall. This autonoesis, first detailed by Tulving, allows past episodes to unconsciously scaffold imaginative projections, such as anticipating outcomes based on prior events, thereby enriching conceptual understanding. For instance, recalling a specific past interaction might implicitly current social concepts without deliberate retrieval. Concept formation relies on unconscious schema development, where mental structures evolve through interactions with the environment to organize implicitly. Piaget's posits that schemas form via assimilation, incorporating new information into existing frameworks, and accommodation, modifying those frameworks to fit novel data, occurring across developmental stages from the 1920s observations onward. These processes operate largely without full awareness, as children and adults unconsciously refine concepts—such as categorizing objects—through equilibrative adjustments that balance assimilation and accommodation. Piaget's longitudinal studies highlight how this dual mechanism builds abstract thinking, influencing imaginative processes by providing flexible mental templates. Imagination functions as an unconscious mental of hypothetical or non-present scenarios, drawing on traces to generate novel ideas and foster . This involves recombining episodic elements into prospective narratives, often bypassing conscious oversight to produce innovative concepts. In , such processes enable breakthroughs, as seen in Einstein's visualization of riding a to conceive relativity, a technique rooted in imaginative mental emulation. on mental supports its role in predictive , where unconscious simulations bridge past experiences and future possibilities, enhancing concept formation without explicit reasoning.

Applications and Methods

Problem Solving and Decision Making

Problem solving involves the cognitive processes through which individuals identify obstacles, generate solutions, and implement actions to achieve specific goals. A foundational model in this domain is the General Problem Solver (GPS), developed by Allen Newell, J.C. Shaw, and in 1959, which simulates human-like problem solving on a computer by breaking tasks into structured components. The GPS operates through three primary stages: problem representation, where the initial state, goal state, and available operators are defined; planning, which employs means-ends analysis to reduce differences between current and desired states by selecting operators that minimize discrepancies; and execution, where the planned sequence of actions is applied to transform the problem space. This approach highlights goal-directed as a systematic method for overcoming barriers, influencing subsequent computational models of thought. In contrasting algorithmic and heuristic strategies, early experimental work by Edward L. Thorndike in 1898 demonstrated trial-and-error learning, where animals, such as cats in puzzle boxes, gradually associated successful actions with escape through repeated attempts and reinforcements, forming the basis for behaviorist views on problem solving. Algorithmic methods, like exhaustive search, guarantee solutions but can be inefficient for complex problems, whereas heuristics provide shortcuts by approximating optimal paths, as seen in Newell and Simon's means-ends analysis, which prioritizes operators that bridge the largest gaps toward the goal rather than testing all possibilities. Means-ends analysis thus exemplifies heuristic efficiency in goal-directed thought, reducing computational demands in both human cognition and artificial systems. Decision making under uncertainty often relies on heuristics that introduce systematic biases, as outlined by and in their 1974 analysis of processes, where individuals over-rely on availability (recalling vivid examples) and representativeness (ignoring base rates), leading to errors in probabilistic reasoning. Building on this, their (1979) models choices between risky options by positing that people evaluate outcomes relative to a reference point, exhibiting —where losses loom larger than equivalent gains—and diminishing sensitivity to probabilities, which explains phenomena like risk-seeking in losses and risk-aversion in gains. These frameworks underscore how thought processes in deviate from rational ideals, prioritizing psychological realism over normative maximization. A classic paradigm illustrating these elements is the puzzle, where disks of varying sizes must be moved from one peg to another following strict rules (no larger disk on a smaller one), requiring and execution to minimize moves. In , this task reveals how solvers apply means-ends analysis to subgoals, such as recursively moving subsets of disks, while heuristics like rule adherence prevent trial-and-error pitfalls; empirical studies show that optimal solutions demand 2^n - 1 moves for n disks, testing like and inhibition. Reasoning serves as a core tool in such paradigms, enabling the of complex problems into manageable steps.

Deliberation and Critical Thinking

Deliberation refers to the reflective process of weighing options to arrive at ethical decisions, rooted in ancient philosophy. Aristotle, in his Nicomachean Ethics (c. 350 BCE), introduced the concept of phronesis, or practical wisdom, as the intellectual virtue enabling individuals to deliberate effectively about what is good and advantageous in particular circumstances for achieving a virtuous life. Unlike theoretical wisdom, phronesis involves applying general moral principles to specific situations through reasoned judgment, emphasizing the integration of experience and ethical insight in decision-making. This form of deliberation is essential for ethical conduct, as it guides actions toward the mean between extremes, fostering human flourishing (eudaimonia). Critical thinking builds on deliberation by promoting systematic evaluation of beliefs and arguments through evidence and reason. John Dewey, in How We Think (1910), described reflective thinking as an active, persistent, and careful consideration of any belief or supposed form of knowledge in light of supporting grounds and conclusions to which it tends, distinguishing it from routine or impulsive thought. Dewey emphasized its role in education, arguing that it cultivates habits of inquiry to resolve problematic situations. Later, Peter Facione's Delphi Report (1990) outlined core critical thinking skills, including analysis (breaking material into parts to understand structure), inference (drawing reasoned conclusions), and self-regulation (monitoring one's thinking for clarity and accuracy). These skills enable individuals to assess evidence skeptically and make justified judgments. A key framework for both and is the , which involves rigorous questioning to uncover and challenge underlying assumptions. In Plato's dialogues, such as (c. 380 BCE), Socrates employs elenchus—a dialectical process of —to expose inconsistencies in interlocutors' beliefs, prompting deeper reflection on concepts like or . This method fosters and clarity by revealing unexamined premises, serving as a tool for ethical and rational inquiry. In modern applications, debiasing techniques extend these principles to mitigate cognitive distortions in and . Educational programs incorporate training in recognizing biases like through exercises that encourage alternative perspectives, as demonstrated in a 2020 study where such training reduced the likelihood of choosing inferior decisions by approximately 30% among graduate students. In contexts, techniques such as pre-mortems—simulating failure scenarios to anticipate flaws—have been adopted to enhance evidence-based assessments and reduce overconfidence, as introduced by Gary Klein in 2007 and applied in organizational planning. These approaches align with frameworks by promoting and iterative reflection, ensuring more equitable and rational outcomes.

Interdisciplinary Perspectives

Phenomenology and Metaphysics

Phenomenology, as developed by Edmund Husserl, seeks to investigate the structures of conscious experience through a method of rigorous description, free from presuppositions about the external world. In his 1913 work Ideas: General Introduction to Pure Phenomenology, Husserl introduced the concept of epoché, a bracketing or suspension of natural attitudes and assumptions to focus on the pure phenomena of thought as they appear in consciousness. This epoché enables the examination of thought's essential structures, revealing it as an intentional act directed toward objects, where consciousness is always "consciousness of something." Husserl's approach posits that thought involves noematic content—the ideal meanings grasped in acts of intending—distinct from empirical psychology, emphasizing the eidetic essence of mental phenomena. In metaphysics, the nature of thought has been central to debates on the mind's ontological status, particularly regarding its relation to the body. , in his 1637 , famously articulated "" ("I think, therefore I am") as an indubitable foundation of knowledge, establishing thought as the essence of the self and proof of the mind's existence independent of sensory deception. This led to Cartesian dualism, positing mind and body as distinct substances—res cogitans (thinking thing) and res extensa (extended thing)—with thought inhering solely in the immaterial mind. In contrast, Baruch Spinoza's 1677 advocates a monistic metaphysics where mind and body are parallel attributes of a single substance, or ; thoughts correspond exactly to bodily modifications without causal interaction, preserving the unity of thought within a deterministic whole. Spinoza's parallelism thus counters dualism by viewing thought not as separable but as co-extensive with physical processes in an infinite, necessary order. Contemporary metaphysical discussions of thought often intersect with the philosophy of consciousness, particularly the challenge of qualia—the subjective, ineffable qualities of experience. David Chalmers, in his 1995 paper "Facing Up to the Problem of Consciousness," distinguishes the "easy problems" of cognitive functions from the "hard problem": explaining why physical processes in the brain give rise to phenomenal experience in thought, such as the felt quality of imagining a color or emotion. Chalmers argues that thought's subjective aspect resists reduction to functional or physical explanations, suggesting dualism or panpsychism as potential resolutions, as no current theory fully accounts for why thought feels like something from the inside. Eastern philosophical traditions offer parallel insights into thought's nature, emphasizing its experiential and impermanent character. In , citta—often translated as mind or thought—refers to the stream of mental processes that arise and cease moment by moment, characterized by impermanence (anicca) and lacking inherent self. This view, articulated in texts, portrays thought not as a stable entity but as a flux of intentional events conditioned by karma and sensory contact, inviting phenomenological reflection on its empty, interdependent arising to alleviate .

Psychology, Psychoanalysis, and Neuroscience

In , Gestalt theory emphasizes that thought processes involve perceiving wholes rather than isolated parts, with Max Wertheimer's 1923 work identifying principles such as proximity, similarity, and closure that organize perceptual experiences into coherent patterns. These principles extend to higher , suggesting that problem-solving and emerge from restructuring the overall perceptual field rather than step-by-step analysis. Complementing this, Leon Festinger's 1957 theory of posits that conflicting beliefs or behaviors create psychological tension, motivating individuals to adjust thoughts—such as rationalizing actions or altering attitudes—to restore consistency. This mechanism influences and , as demonstrated in experiments where participants altered perceptions to align with prior commitments. Psychoanalysis, pioneered by , views thought as shaped by unconscious dynamics, distinguishing primary processes—primitive, pleasure-driven thinking characterized by and displacement—from secondary processes, which are logical and reality-oriented. In (1900), Freud argued that primary processes dominate during sleep but intrude into waking thought through mechanisms like wish fulfillment, while unconscious conflicts, often rooted in repressed desires, distort rational and manifest as slips or symptoms. These conflicts, arising from the interplay, compel defensive thought patterns that prioritize avoidance of anxiety over objective reality. Neuroscience has illuminated the neural substrates of thought through (fMRI) studies, revealing the (DMN)—a set of interconnected brain regions including the and medial —as active during , self-referential thinking, and spontaneous . Marcus Raichle's 2001 research showed that the DMN deactivates during focused tasks, underscoring its role in internally directed thought processes like reflection and future planning. Recent studies as of 2025 have further elucidated the DMN's dynamic integration of domain-specific predictions and its links to and psychiatric disorders. Additionally, mirror neurons, discovered in the of monkeys by Giacomo Rizzolatti and colleagues in 1996, fire both when an individual performs an action and observes it in others, contributing to action understanding and imitation. Their proposed role in empathetic thought and higher , such as simulating others' intentions and emotions, remains debated, with current consensus emphasizing more limited functions in basic motor and social behaviors. Thought disorders, particularly in , disrupt these processes, with the (2013) criteria specifying disorganized speech—manifesting as loose associations, where ideas shift illogically without clear connections—as a core symptom alongside delusions and hallucinations. Loose associations reflect impaired semantic connectivity in thought, leading to tangential or incoherent , as evidenced in clinical assessments where patients fail to maintain thematic links in speech. These disturbances, updated in to emphasize dimensional severity rather than categorical subtypes, correlate with prefrontal and dysfunctions, impairing both holistic integration (per Gestalt principles) and conflict resolution (per ). In chronic cases, such disorders persist, contributing to functional deficits and requiring targeted interventions like cognitive remediation.

Laws of Thought and Counterfactual Thinking

The , also known as the principles of logic, are foundational axioms that govern rational reasoning and have been attributed to in his work Metaphysics (circa 350 BCE). These include the , which states that a thing is identical to itself (), asserting that entities maintain their essential nature in logical discourse. The posits that contradictory statements cannot both be true simultaneously (not both A and not-A), preventing the acceptance of opposing propositions as valid. Finally, the declares that for any proposition, either it or its negation must be true (either A or not-A), eliminating the possibility of a third indeterminate option in binary logic. These laws serve as constraints on coherent thought, ensuring consistency and definitiveness in argumentation and . Counterfactual thinking involves constructing hypothetical scenarios that diverge from actual events, often framed as "what if" questions, to explore alternative outcomes and their implications. In this process, individuals generate mental representations of possibilities that did not occur, aiding in causal understanding and learning from past experiences. Ruth M. J. Byrne's theory of mental models (2005) explains how people reason about such conditionals by manipulating internal simulations of reality; for instance, in considering "If Oswald hadn't shot Kennedy, Kennedy would not have been assassinated," one revises a mental model by altering the antecedent event while preserving relevant facts to derive the consequent. This approach highlights how counterfactuals facilitate regret analysis, planning, and moral reflection by focusing on mutable elements close to actual events. These concepts find applications in formal logic and , where they underpin and conditional assessment. Frank Plumpton Ramsey's test (1929), proposed in his notes on general propositions and , evaluates the acceptability of a conditional "if A then C" by hypothetically adding A to one's set and checking if C follows, integrating counterfactual reasoning into probabilistic frameworks for updating beliefs under uncertainty. This method bridges deductive logic with inductive probability, influencing modern theories of rational . Critiques of the classical arise from non-binary systems that accommodate and gradations. Lotfi A. Zadeh's introduction of in 1965 challenges the by allowing truth values between 0 and 1, rather than strict true/false dichotomies, enabling more nuanced representations in areas like control systems and where precise boundaries are impractical. For example, fuzzy sets model partial memberships, such as "tall" applying variably to heights, thus extending logical thought beyond Aristotelian absolutes while preserving core principles in crisp domains.

Thought Experiments and Positive Thinking

Thought experiments serve as imaginative mental constructs used to explore complex ideas, test theories, and probe philosophical or scientific assumptions without physical . These hypothetical scenarios allow thinkers to manipulate variables in controlled ways, revealing insights into the nature of , , or . In and , they function as tools for clarifying paradoxes and challenging established paradigms. A seminal example is , proposed by physicist in 1935 to illustrate the counterintuitive implications of in the . In this scenario, a cat is placed in a sealed box with a radioactive atom, a , poison, and a hammer; if the atom decays, the counter triggers the hammer to release the poison, killing the cat. Until observed, suggests the atom is in superposition—both decayed and undecayed—rendering the cat simultaneously alive and dead. This highlighted the absurdity of applying quantum principles to macroscopic objects and spurred debates on and observer effects. In ethics, the , introduced by philosopher in 1967, examines moral intuitions about action and inaction. It posits an out-of-control trolley heading toward five people tied to the tracks; a bystander can divert it to another track, killing one person instead. Variations, such as pushing a large man off a bridge to stop the trolley, test the doctrine of double effect, distinguishing intentional harm from foreseen side effects. Foot's formulation underscores tensions between and deontological ethics, influencing ongoing research in . Positive thinking encompasses mental practices that emphasize optimistic interpretations of events, fostering resilience and . Central to this is Martin Seligman's concept of learned , outlined in his 1990 book, which posits that is a acquired through disputing pessimistic explanatory styles—viewing negative events as permanent, pervasive, and personal—rather than innate. Seligman argues that by reframing setbacks as temporary, specific, and external, individuals can reduce depression risk and enhance achievement. Complementing this, (CBT) techniques, developed by T. Beck in his 1979 work on depression, promote positive thinking via . Patients identify and challenge distorted thoughts, such as catastrophizing, replacing them with balanced, evidence-based perspectives to alleviate emotional disorders. 's approach integrates with , forming the basis for evidence-based interventions in . Empirical support for positive thinking includes meta-analytic evidence on mental visualization, where imagining successful outcomes enhances . In a 1998 review, Taylor and colleagues analyzed studies showing process simulations—envisioning steps to goals—improve self-regulation and more effectively than outcome-focused fantasies alone, with effects observed in academic and behaviors. Links to further underscore efficacy; post-2000 research demonstrates positive emotions trigger upward spirals that reshape neural pathways. Fredrickson and Joiner's 2002 model integrates with affective , showing how and expand , countering negativity biases and promoting synaptic strengthening for sustained . Critiques highlight risks of over-optimism fostering unrealistic expectations, potentially leading to disappointment and poor . Shepperd et al.'s 2015 analysis reveals that excessive absolute optimism—believing outcomes will exceed norms—correlates with when reality falls short, as seen in financial or misjudgments, advocating balanced realism over unchecked positivity.

References

  1. https://.org/html/2505.18277v1
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